algorithms

Evolutionary approaches for prototype selection algorithms

One of the most accurate types of prototype selection algorithms, preprocessing techniques that select a subset of instances from the data before applying nearest neighbor classification to it, are evolutionary approaches. These algorithms result in very high accuracy and reduction rates, but unfortunately come at a substantial computational cost. In this paper, we introduce a framework that allows to efficiently use the intermediary results of the prototype selection algorithms to further increase their accuracy performance.

May
23
May/23 09:00 - May/27 18:00
Delft University of Technology (TUD), Delft, the Netherlands

BioSB Course: Algorithms for Biological Networks (4rd edition)

• Date: 23-27 May 2016
• Course coordinators: Dick de Ridder (WUR), Jeroen de Ridder (TUD)
• Website: http://biosb.nl/education/course-portfolio/course-algorithms-for-biologi...

Target audience

PhD students with a background in bioinformatics, computer science or a related field; a working knowledge of basic statistics and linear algebra is assumed.

Jun
21
Jun/21 09:00 - Jun/23 18:30
Extremadura Centre for Advanced Technologies, Trujillo, Spain

3rd INTERNATIONAL CONFERENCE ON ALGORITHMS FOR COMPUTATIONAL BIOLOGY AlCoB 2016

AIMS:

AlCoB aims at promoting and displaying excellent research using string and graph algorithms and combinatorial optimization to deal with problems in biological sequence analysis, genome rearrangement, evolutionary trees, and structure prediction.

Previous events were held in Tarragona (2014) and Mexico City (2015).

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